Live online seminar · Requirements & Business Analysis
AI for requirements engineering and business analysis
In plain language Use AI to discover, improve and review requirements
Discover, refine and review requirements more effectively.
You use AI as an assistant for interviews, document analysis, requirements and reviews without handing over professional responsibility.

Reliably planned
What is included with this seminar
Current market-standard content is included as a matter of course. CTPM+ makes the transfer to your IT, data and process practice visible.
- 01EntryBuild sound foundations
- 02ApplicationApply methods in practice
- 03SpecialisationDeepen roles and systems
- 04Transfer & coachingImplement a concrete result
Delivery
Choose the right format
Compare delivery, duration, price and configuration. In-person and in-house formats are aligned with your group, location and assignment.
Live online seminar · 2 days
Two intensive days for methods, exercises and professional transfer.
- Duration
- 2 days
- Level
- Professional
- Location
- Online
CTPM+ is included in the seminar price.
Ask about availabilityIn-person seminar · tailored
Content, examples, duration and transfer are tailored to the audience and assignment.
- Duration
- By arrangement
- Level
- Professional
- Location
- Academy venue
Duration, scope and price are proposed after professional scoping.
Ask about availabilityIn-house training · client-specific
Content, examples, systems and priorities are prepared with the client.
- Duration
- By arrangement
- Level
- Professional
- Location
- At the client site
Duration, scope and price are proposed after professional scoping.
Ask about availabilityLearning content
What you will work on in this seminar
The modules make scope, priorities and intentional boundaries transparent.
Planned learning scope: 2 days. The offered format covers 2 days, including breaks, questions and transfer phases.
Learn which tasks generative AI can support reliably and where probabilistic output, hallucinations, bias, context limits or outdated knowledge create risk. Common failure modes are recognised, assessed and connected to appropriate checks.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Capabilities, limits & common failure modes70 minutes
- Systematic prompting90 minutes
- Review & optimise results90 minutes
- Workflows & process chains100 minutes
- Quality & control points100 minutes
- Enterprise IT & project cases140 minutes
- Concrete transfer result100 minutes
- Adaptation to audience, knowledge & assignment
- Requirements engineering & business analysis150 minutes
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 31 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Current models, tools & applications
Content and learning objective+
Distinguish language models, AI services, copilots and specialised tools by task, data access and degree of integration. Criteria such as output quality, data protection, cost, currency and integration into existing workplaces make selection transparent.
Improve & reuse prompts
Content and learning objective+
Improve prompts in controlled steps, compare variants and distinguish professional weaknesses from wording or context problems. Proven patterns are versioned, documented and made reusable for similar tasks.
Text, documents, research & knowledge work
Content and learning objective+
Work on common tasks such as drafting, summarising, comparing, extracting, classifying and preliminary research. Clarify required inputs, result validation and where AI usefully supports the existing workflow.
Confidential information & organisational data
Content and learning objective+
Classify personal, confidential and business-critical information and decide what data an AI service may process. Anonymisation, permissions, provider settings, internal rules and safer alternatives are assessed through practical situations.
Practical examples & exercises
Content and learning objective+
Apply the methods to transparent tasks, compare alternative approaches and reflect on the impact of your decisions. Exercises combine explanation, hands-on work, feedback and a transferable improvement.
Course materials & job aids
Content and learning objective+
Receive and use checklists, structures, examples and concise references that remain useful after the seminar. Materials are not merely distributed; they are explained and related to common application situations.
Use documents & knowledge systematically
Content and learning objective+
Discover existing text, documents and knowledge through source structure, metadata, terminology and suitable search or retrieval approaches. Quality, currency, permissions and the limits of a RAG or knowledge solution are made explicit.
Databases, interfaces, ETL & enterprise software
Content and learning objective+
Place data objects, databases, interfaces, ETL pipelines and enterprise software into one coherent solution view. System boundaries, data flows, responsibilities, error paths and operational requirements are considered.
Reusable prompt, analysis & workflow templates
Content and learning objective+
Develop prompt structures, analysis templates and workflow patterns that can be reused with clear inputs, checks and ownership. Versioning and adaptation prevent templates from becoming uncontrolled one-off solutions.
Collaboration with sector experts
Content and learning objective+
For regulated, safety-critical or highly specialised content, the roles and responsibilities of a dual-instructor team are defined. CTPM covers AI, IT, data, architecture and methodology; the sector expert adds processes, terminology and binding requirements.
Software architecture & modernisation
Content and learning objective+
Derive architecture goals from business and quality requirements and structure components, interfaces and responsibilities. Architecture decisions, risks, modernisation steps and transparent documentation are assessed together.
Data modelling, SQL & databases
Content and learning objective+
Transform business concepts and rules into conceptual, logical and relational data models. Keys, relationships, normalisation, integrity, SQL queries and performance are treated as connected design decisions.
ETL, interfaces & data integration
Content and learning objective+
Design the path from source to target systems with mappings, transformations, loading approaches and quality rules. Delta logic, error handling, restart, monitoring, metadata and lineage are considered from the start.
Legacy analysis & knowledge retention
Content and learning objective+
Capture functions, data, interfaces, dependencies, documentation and implicit knowledge in an established solution. Risks and unknown areas become visible so modernisation can proceed incrementally without uncontrolled changes to current behaviour.
Understand relational databases
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Select, filter and sort data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Aggregate and group data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Join tables safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Classify data changes safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Distinguish standard SQL, Oracle, MySQL and MariaDB
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Translate business questions into SQL
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Validate results technically and functionally
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Oracle SQL & PL/SQL
Content and learning objective+
Work with Oracle-specific SQL and PL/SQL from data access and transactions to procedures, functions and packages. Exception handling, performance, testing, interfaces and maintainability are connected through realistic database tasks.
Clarify role, assignment and mandate
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Understand stakeholders and interests
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Communicate clearly at eye level
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Prepare and represent decisions
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Address resistance and conflict early
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Create commitment without hierarchy
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Use briefing and debriefing effectively
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Lead under uncertainty and secure transfer
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
The complete professional standard
Fundamentals, current tools, prompting, exercises, output review, privacy, security and responsible use are taught clearly and practically.
More transfer through senior practice
CTPM+ connects learning to roles, documents, knowledge, processes, data, interfaces, architecture and a realistic next implementation step.
An academy that enables learning
We do not merely repeat terminology. We make it usable.
More than 25 years of adult education and thousands of participants in IT and Oracle topics shape our approach: explain clearly, practise together, review critically and transfer safely.
We connect new terminology immediately with plain language and a familiar problem.
You apply the method yourself using a clear example and can ask questions at any time.
We compare results, identify errors and develop understandable quality criteria.
You leave with a template, decision aid or a concrete next step for your work.
Two learning samples from this seminar
Technical terms become clear step by step
Open an example to see how we connect terminology with meaning, application and review.
TraceabilityHow requirements and decisions remain transparent
Traceability links origin, requirement, change, test and approval so that decisions and verification remain explainable.
PromptFrom a vague request to a usable task description
A before-and-after example shows how context, task, goal, quality criteria and output format turn a vague request into a verifiable instruction for AI.
For seminars with practical transfer
Example transfer result
A practical, reviewed result for applying the seminar content to your own work: Anforderungen mit KI schneller erschließen, verbessern und prüfen.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
Structure existing documents and knowledge.
Improve requirements and acceptance criteria.
Review consistency, gaps and traceability.
What this live online seminar covers
Established AI foundations are transferred to real analysis work. Participants test prompts for stakeholder questions, document analysis, user stories, acceptance criteria, contradictions and quality reviews. CTPM+ connects methods with legacy documentation, data models, architecture and clear professional boundaries.Participants
Requirements engineers, business analysts, product owners, project managers, functional designers, architects and quality specialists.
Included
Two-day working seminar, exercises, prompt patterns, review checklists, cases and transfer design.
Prerequisites
Basic requirements engineering or business analysis knowledge.
Not included
No client-system configuration or full processing of a real specification.